The Adult dataset [1]} contains \(32,561\)  individuals with 14 attributes, and we are asked to classify whether a given person makes more or less than $50,000 a year; gender is the sensitive attribute.
The COMPAS dataset [2]} contains 5,278 instances with 12 features, and the associated task is to predict if a criminal defendant will be re-incarcerated within two years. Here, race is the sensitive attribute.
We compared against a set of recent baseline methods: 1. [3]}, 2. [4]}, 3. [5]}, 4. [6]}, 5. [7]}, 6. [8]}.
We consider the results reported in these papers (consistent with our definition of Disparate Impact and Equal Opportunity). We note that some baselines only report values on the Adult dataset for Disparate Impact.
